Metadata and Semantic Research - Third International Conference, MTSR 2009, Milan, Italy, October 1-2, 2009. Proceedings

von: Fabio Sartori, Miguel-Angel Sicilia, Nikos Manouselis (Eds.)

Springer-Verlag, 2009

ISBN: 9783642045905 , 340 Seiten

Format: PDF, OL

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Metadata and Semantic Research - Third International Conference, MTSR 2009, Milan, Italy, October 1-2, 2009. Proceedings


 

Preface

5

Organization

6

Table of Contents

9

Theoretical Research: Results and Proposals

9

VMAP: A Dublin Core Application Profile for Musical Resources

12

Introduction

12

Limitation of Metadata Standards for Musical Assets

13

Metadata Modelling for Musical Resources Using FRBR

15

Conclusions and Future Work

21

References

21

Usage-Oriented Topic Maps Building Approach

24

Introduction

24

An Overview of Our Multilingual Topic Map Construction Approach

25

The Topic Map Building and Validation Steps

27

The Topic Map Building Step

27

The Topic Map Validation Step

28

The Topic Map Integration Step

29

Related Works

31

Conclusion and Future Work

32

References

32

ManagemOnt: A Semantic Approach to Software Engineering Management Process

35

Introduction

35

Motivation

36

Semantic Software Engineering Processes

37

Software Engineering Management Meta-model

39

Software Engineering Management Ontology

40

Future Work

43

Conclusions

43

References

44

Clarifying the Semantics of Relationships between Learning Objects

46

Introduction

46

Critical Review of Relationships in LOM

47

Related Work

50

Impact of Relationships in the Metadata 1.7 Structure

52

Modeling Relationships

54

Conclusions

56

References

57

A Framework for Automatizing and Optimizing the Selection of Indexing Algorithms

59

Introduction

59

Related Work

60

A Generic Framework for Selecting Indexing Algorithms

62

Determining Indexing Algorithms According to a Query

62

Concrete Application Domains

64

Application to Structured Metadata

65

Application to RDF-Based Descriptions

65

Optimizations and Discussions

67

Conclusion

68

References

69

Empirical Analysis of Errors on Human-Generated Learning Objects Metadata

71

Introduction

71

Quality of Learning Objects Metadata

72

Data Description

73

Methodology

73

Groups of Errors

73

Results

75

General Overview

77

Errors and Level of Knowledge about Categories

78

Category 3.Meta-metadata:

78

Category 9.Classification:

79

Conclusions and Future Work

80

References

81

Analysis of Educational Metadata Supporting Complex Learning Processes

82

Introduction

82

Design, Execution and Control of Complex Learning Processes

83

Related Work on Learning Process Design and Execution

83

An Extended Characterization of Complex Learning Processes

85

Workflow Control Patterns-Based Analysis of EMLs

85

Workflow Control Patterns

86

Learning Process Analysis Based on Workflow Control Patterns

87

Case Study: Wrapping a Learning Design with LPCEL Metadata Primitives

90

Conclusions

91

References

92

A Fine-Grained Metric System for the Completeness of Metadata

94

Introduction – Related Work

94

A Metric System for Completeness

96

Introducing Completeness at the Field Level

97

Measuring Completeness at the Field Level

98

Extending Completeness Metrics at the Representation Level

100

A Discussion of the Proposed Metrics

102

Conclusion – Future Work

104

References

104

Unified Semantic Search of Data and Services

106

Introduction

106

Motivating Scenario and Running Example

107

Building the Global Data and Service View at Set-Up Time

109

Building an Integrated Representation of eServices: The GLSO

109

Mapping of Data and Service Ontologies

112

Data and eService Retrieval

113

eService Retrieval

114

Related Work

116

Conclusion and Future Work

117

References

117

Preliminary Explorations on the Statistical Profiles of Highly-Rated Learning Objects

119

Introduction

119

Quantitative, Measurable Aspects of Learning Objects

121

Preliminary Empirical Study

121

Method

122

Results

123

Discussion

123

Conclusions and Outlook

126

References

127

Applications: Case Studies and Proposals

10

A Semantic Web Based System for Context Metadata Management

129

Introduction

130

Related Work

130

Semantic Web Based System for Context Metadata Management

132

System Architecture

132

Context module.

132

History module.

133

Rules module.

133

Inference module.

133

Input module.

133

Output module.

133

Translation module.

133

User interface module.

134

Module Interactions

134

Context Model

135

Case Study

137

Conclusions and Future Work

138

References

139

An XML Pipeline Based System Architecture for Managing Bibliographic Metadata

141

Introduction

141

Background

143

XML Metadata Format

144

System Architecture

145

Implementing the System in Practice

150

Conclusions

150

References

151

DataStaR: Bridging XML and OWL in Science Metadata Management

152

Introduction

152

Motivation and General Approach

153

XML Schemas and OWL: Background and Related Work

154

First Application: Ecological Metadata

155

System Implementation

156

Generation of Editing and Display Interfaces

156

Hidden XML Semantics

158

Ongoing Work

158

Multiple Formalisms and DL Compatibility

158

Ordering of Axioms

159

Evaluation

159

A Particular Advantage of XML Tools – Handling Text Markup

160

Conclusion

160

Funding Acknowledgement and Disclaimer

160

References

161

Structured Metadata for Representing and Managing Complex ‘Narrative’ Information

162

Introduction

162

General Backaground

163

Narratology and Related Disciplines

163

Present (and Past) Solutions for Representing Narratives

165

A Short Description of NKRL

166

The Knowledge Representation Aspects

166

The Querying and Inferencing Aspects

170

Conclusion

174

References

174

A Semantic Web Framework to Support Knowledge Management in Chronic Disease Healthcare

175

Introduction

175

Healthcare Knowledge Management for Chronic Disease

176

Ontology-Based Healthcare Knowledge Management Framework

177

Knowledge Resources

177

Ontology Development

177

Evidence-Based Healthcare Resource Repository

179

Discussion

180

References

180

Ontological Enrichment of the {\it Genes-to-Systems Breast Cancer} Database

182

Introduction

182

Background

183

Methods

185

Ontologies

185

The Ontology Based G2SBC

185

Ontologies Description

185

The Ontology Layer Implementation

186

Discussion

187

Improvement Related to Ontologies Exploitation

189

Conclusions

191

Acknowledgments.

192

References

192

An Ontology Based Approach to Information Security

194

Introduction

194

Overview of Information Security

196

Ontology Based Applications in the Knowledge Management

197

Ontological Needs in Information Security

198

IS Ontology Conceptual Model

199

Conclusions and Future Work

201

References

202

Reusability Evaluation of Learning ObjectsStored in Open Repositories Based on Their Metadata

204

Introduction

204

Learning Object Evaluation

205

Learning Object Reusability Metrics Based on Metadata Records

205

Cohesion

206

Size and Complexity

207

Portability

207

Quality Evaluation in the Use of Metadata in Repositories eLera and Merlot

208

Source of Metadata

209

Correspondence between eLera, Merlot and LOM Metadata Elements

209

Unstructured Metadata

210

Different Value Spaces

211

Metadata Completeness

211

Conclusions

212

References

212

A Comparison of Methods and Techniques for Ontological Query Expansion

214

Introduction

214

State of the Art

216

A Definition of Query Expansion

216

Query Expansion Methods

217

Towards a Platform for QE: Implementation

219

Type of Ontologies: Thesauri

219

Definition of the Ontology Representation Language: SKOS

220

Platform Architecture

220

Testing

222

Conclusions

223

References

224

Exploring Characterizations of Learning Object Repositories Using Data Mining Techniques

226

Introduction

226

Methodology

227

Criteria for LOR Selection

227

Data Collection

228

Preprocessing

228

Application of Data Mining Techniques

228

Potential Applications

234

Conclusions

234

References

235

Special Track: Metadata and Semantics for Agriculture, Food and Environment

10

Assuring the Quality of Agricultural Learning Repositories: Issues for the Learning Object Metadata Creation Process of the CGIAR

237

Introduction

237

Issues in Approaching the Nature of Quality in Education

238

Addressing Quality Metadata

239

Quality Assurance for LOM of the CGIAR

242

Conclusion

245

References

246

Ontology Design Parameters for Aligning Agri-Informatics with the Semantic Web

250

Introduction

250

Design Parameters

251

Purposes of the Ontologies

251

Reusing Ontologies and Ontology-Like Artefacts

251

Bottom-Up Development of Ontologies through Ontology Learning

253

Representation Languages and Reasoning Services

253

Conclusions

254

References

255

Developing an Ontology for Improving Question Answering in the Agricultural Domain

256

Introduction

256

Related Work

258

Improving Question Answering for the Agricultural Domain

259

The RCCA Journal as Agricultural Domain

260

Ontology Construction

260

The AGROVOC Thesaurus and WordNet

261

Alignment between Ontology and Domain Terminology

262

Calculating Weights.

264

Experiments and Results

264

Conclusions and Future Work

266

References

266

A Service Architecture for Facilitated Metadata Annotation and Ressource Linkage Using agroXML and ReSTful Web Services

268

Introduction

268

Materials and Methods

268

Prototype

270

Discussion

271

Outlook

273

References

273

A Water Conservation Digital Library Using Ontologies

274

Introduction

274

Ontology Development Methodology

275

Specification and Conceptualization

275

Formalization and Implementation

276

Ontology Application

276

Top Level Ontology

277

Domain Specific Ontology

277

System Architecture

278

Preliminary Conclusions

279

References

280

Evaluation of a Metadata Application Profile for Learning Resources on Organic Agriculture

281

Introduction

281

Background

282

Generic Process for AP Development

282

Evaluating the Application Profile

283

Revisiting the Process

284

Development of a LOM-Based AP for Organic Agriculture and Agroecology and Evaluation Study

285

Pilot Experiment Settings

285

Results

286

AP Revisions

288

Conclusions

289

References

290

Ontology for Seamless Integration of Agricultural Data and Models

293

Introduction

293

Ontologies in Integrated Assessment Studies

294

The Seamless Integrated Project

294

A Platform for Agro-Environmental Impact Assessments: SeamFrame

295

Ontology Development for Scientific Workflows

295

Model Chains and Scales – Interoperability Issues

295

Community Ontology Development in Seamless-IP

296

The Seamless Ontologies

296

The Seamless Model Chain

296

Crops and Products Ontology

297

Farm Ontology

298

Production Enterprise

298

Agricultural Activities

299

Economic Valuation of Agricultural Activities and Optimal Farmer Behaviour

300

Agricultural Policy Assessment

300

Assessment Project Ontology

301

Contribution of Ontology Development in Software Engineering Tasks

302

Cross-Programming Language Transliterations

302

Persistent Storage of Simulation Results

303

Documentation of Source Code and Database Schemas

303

Discussion

303

References

304

Assessment of Food and Nutrition Related Descriptors in Agricultural and Biomedical Thesauri

305

Introduction

305

Materials and Methods

306

Thesauri and Databases under Study

307

Results

308

Descriptors Related to Food in General

308

Descriptors Related to Vegetables

309

Descriptors Related to Milk

312

Descriptors Related to Seafoods

312

Discussion and Conclusions

314

References

315

Networked Ontologies from the Fisheries Domain

317

Introduction

317

The Process of Reengineering Reference Data for Time Series

319

The First Network of Fisheries Ontologies

319

Conclusions and Future Work

321

References

322

Improving Information Exchange in the Chicken Processing Sector Using Standardised Data Lists

323

Introduction

323

Method

324

Results

326

Discussion

328

References

331

Navigation as a New Form of Search for Agricultural Learning Resources in Semantic Repositories

333

Introduction

333

Technical Foundations

334

Overall Architecture of Organic.Edunet

334

Semantic Technologies

335

Semantic Search

335

Conclusions

337

References

337

Author Index

339